The Guardian Article Rating

The big idea: why we shouldn't be levelling up

Jun 14, 2022 View Original Article
  • Bias Rating

    -74% Very Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    74% Very Conservative

  • Politician Portrayal

    -27% Negative

Bias Score Analysis

The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.

Sentiments

Overall Sentiment

N/A

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  •   Conservative
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

56% : The thinking was that these acquisitions, the fruits of the war over Brexit, could not be kept once Brexit was "done" unless their needs were addressed.
48% : The gap between real funding per head in state and private schools is widening.
47% : Providing decent education, health and social care and green energy is not - and we should focus on those things instead.
45% : Devolving tax and spending limits the possibility of redistribution from richer areas to poorer ones; it unravels the fiscal union, setting the scene for the kinds of difficulties the euro area experienced after the financial crash.
45% : Government has to deal with the crisis in social care.
45% : This is a long list of policies that are expensive but essential, and will stretch government capacity and the electorate's tolerance of taxation to its limits.
43% : Internal opposition aside, the pressure to keep taxes as low as possible, and the other calls on the government purse, greatly limit the cash available to make levelling up a reality.
38% : It was a way to consolidate the coalition brought together by Brexit so that it would have a life beyond Brexit itself.
36% : For instance, better funding for the NHS and social care will help close one of the worst aspects of inequality, the gap in life expectancy between rich and poor.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

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